Description:

This technology focuses on optimizing various 3D printing parameters such as infill density, geometry, layer thickness, and material distribution to enhance the anisotropic material properties of printed parts. This research aims to create a database of material properties for single and dual material 3D printed parts, enabling accurate prediction of part behavior under real-world conditions without the need for additional experimental testing.

Key Advantages:

• Significant reduction in material costs and 3D printing expenses.

• Elimination of the need for post-design experimental testing.

• Creation of a comprehensive database for anisotropic material properties.

• Enables accurate and reliable design and numerical modeling of 3D printed parts.

• Opens new avenues for the application of 3D printing technology across various industries.

Problems Solved:

• Current limitation of isotropic material properties assumption in 3D printed parts design.

• Lack of reliable data for predicting the real-world behavior of 3D printed parts.

• High costs and inefficiencies associated with additional experimental testing.

• Difficulty in optimizing 3D printing parameters for enhanced part performance.

Market Applications:

• Industrial design and manufacturing for aerospace, military, engineering, architecture, construction, and medical industries.

• Development of high-performance, cost-effective 3D printed parts for critical applications.

• Software and simulation tools for predictive modeling of 3D printed parts.

• Consultancy services for optimizing 3D printing processes in manufacturing.